删除 'project/DataAnalyzer.java'

project/DataAnalyzer.java

@@ -1,142 +0,0 @@
-package java01;
-
-import java.util.*;
-import java.util.stream.Collectors;
-
-public class DataAnalyzer {
-    private DataCleaner cleaner;
-    
-    public DataAnalyzer() {
-        this.cleaner = new DataCleaner();
-    }
-    
-    // 统计技能词频
-    public Map<String, Integer> analyzeSkillFrequency(List<Job> jobs) {
-        Map<String, Integer> skillMap = new HashMap<>();
-        
-        for (Job job : jobs) {
-            String skills = job.getSkills();
-            if (skills != null && !skills.isEmpty()) {
-                String[] skillArray = skills.split(" ");
-                for (String skill : skillArray) {
-                    if (!skill.isEmpty()) {
-                        skillMap.put(skill, skillMap.getOrDefault(skill, 0) + 1);
-                    }
-                }
-            }
-        }
-        
-        // 按词频排序
-        return skillMap.entrySet().stream()
-                .sorted(Map.Entry.<String, Integer>comparingByValue().reversed())
-                .collect(Collectors.toMap(
-                        Map.Entry::getKey,
-                        Map.Entry::getValue,
-                        (e1, e2) -> e1,
-                        LinkedHashMap::new
-                ));
-    }
-    
-    // 分析薪资与经验的关系
-    public Map<String, Double> analyzeSalaryByExperience(List<Job> jobs) {
-        Map<String, List<Integer>> experienceSalaryMap = new HashMap<>();
-        
-        for (Job job : jobs) {
-            String experience = job.getExperience();
-            int minSalary = cleaner.extractMinSalary(job.getSalary());
-            int maxSalary = cleaner.extractMaxSalary(job.getSalary());
-            int avgSalary = (minSalary + maxSalary) / 2;
-            
-            if (!experience.isEmpty() && avgSalary > 0) {
-                experienceSalaryMap.computeIfAbsent(experience, k -> new ArrayList<>()).add(avgSalary);
-            }
-        }
-        
-        // 计算每个经验级别的平均薪资
-        Map<String, Double> result = new HashMap<>();
-        for (Map.Entry<String, List<Integer>> entry : experienceSalaryMap.entrySet()) {
-            double avgSalary = entry.getValue().stream().mapToInt(Integer::intValue).average().orElse(0);
-            result.put(entry.getKey(), avgSalary);
-        }
-        
-        return result;
-    }
-    
-    // 分析薪资与学历的关系
-    public Map<String, Double> analyzeSalaryByEducation(List<Job> jobs) {
-        Map<String, List<Integer>> educationSalaryMap = new HashMap<>();
-        
-        for (Job job : jobs) {
-            String education = job.getEducation();
-            int minSalary = cleaner.extractMinSalary(job.getSalary());
-            int maxSalary = cleaner.extractMaxSalary(job.getSalary());
-            int avgSalary = (minSalary + maxSalary) / 2;
-            
-            if (!education.isEmpty() && avgSalary > 0) {
-                educationSalaryMap.computeIfAbsent(education, k -> new ArrayList<>()).add(avgSalary);
-            }
-        }
-        
-        // 计算每个学历级别的平均薪资
-        Map<String, Double> result = new HashMap<>();
-        for (Map.Entry<String, List<Integer>> entry : educationSalaryMap.entrySet()) {
-            double avgSalary = entry.getValue().stream().mapToInt(Integer::intValue).average().orElse(0);
-            result.put(entry.getKey(), avgSalary);
-        }
-        
-        return result;
-    }
-    
-    // 分析不同地点的薪资水平
-    public Map<String, Double> analyzeSalaryByLocation(List<Job> jobs) {
-        Map<String, List<Integer>> locationSalaryMap = new HashMap<>();
-        
-        for (Job job : jobs) {
-            String location = job.getLocation();
-            int minSalary = cleaner.extractMinSalary(job.getSalary());
-            int maxSalary = cleaner.extractMaxSalary(job.getSalary());
-            int avgSalary = (minSalary + maxSalary) / 2;
-            
-            if (!location.isEmpty() && avgSalary > 0) {
-                locationSalaryMap.computeIfAbsent(location, k -> new ArrayList<>()).add(avgSalary);
-            }
-        }
-        
-        // 计算每个地点的平均薪资
-        Map<String, Double> result = new HashMap<>();
-        for (Map.Entry<String, List<Integer>> entry : locationSalaryMap.entrySet()) {
-            double avgSalary = entry.getValue().stream().mapToInt(Integer::intValue).average().orElse(0);
-            result.put(entry.getKey(), avgSalary);
-        }
-        
-        return result;
-    }
-    
-    // 获取薪资分布
-    public Map<String, Integer> analyzeSalaryDistribution(List<Job> jobs) {
-        Map<String, Integer> salaryDistribution = new HashMap<>();
-        
-        for (Job job : jobs) {
-            int avgSalary = (cleaner.extractMinSalary(job.getSalary()) + cleaner.extractMaxSalary(job.getSalary())) / 2;
-            
-            String salaryRange;
-            if (avgSalary < 5000) {
-                salaryRange = "5K以下";
-            } else if (avgSalary < 10000) {
-                salaryRange = "5K-10K";
-            } else if (avgSalary < 15000) {
-                salaryRange = "10K-15K";
-            } else if (avgSalary < 20000) {
-                salaryRange = "15K-20K";
-            } else if (avgSalary < 30000) {
-                salaryRange = "20K-30K";
-            } else {
-                salaryRange = "30K以上";
-            }
-            
-            salaryDistribution.put(salaryRange, salaryDistribution.getOrDefault(salaryRange, 0) + 1);
-        }
-        
-        return salaryDistribution;
-    }
-}